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Data Analysis Foundations for Data Science
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Module 1
Analytical Thinking and Business Metrics
1
From Stakeholder Request to Decision-Focused Question
Convert a sales or finance stakeholder request into a decision-focused analytical question.
Convert a sales or finance stakeholder request into a decision-focused analytical question.
2
Identifying a Dataset’s Observation Grain
Identify the observation grain of a business dataset.
Identify the observation grain of a business dataset.
3
Classifying Dataset Fields: Identifiers, Dimensions, Measures, and Dates
Classify dataset fields as identifiers, dimensions, measures, or dates.
Classify dataset fields as identifiers, dimensions, measures, or dates.
4
Calculating Business Rates and Ratios from Transactional Data
Calculate business rates and ratios from transactional data.
Calculate business rates and ratios from transactional data.
5
Calculating Absolute and Percentage Changes Over Time
Calculate absolute change and percentage change between reporting periods.
Calculate absolute change and percentage change between reporting periods.
6
Computing Weighted Averages for Business Metrics
Compute a weighted average for a business metric.
Compute a weighted average for a business metric.
7
Choosing Between the Mean and Median for Business Measures
Choose between the mean and median when summarising a business measure.
Choose between the mean and median when summarising a business measure.
8
Building a KPI Tree from Business Objectives
Construct a KPI tree that links a business objective to measurable drivers.
Construct a KPI tree that links a business objective to measurable drivers.
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